
Lead Data Analyst, Growth & Experimentation
Posted 8 hours ago

Posted 8 hours ago
This is a fully remote position, open to applicants in Mexico, +3 more countries.
β’ Take ownership of experimentation across web funnels, SMS/drip campaigns, sales-driven tests, and SEO evaluations.
β’ Design experiments and make informed decisions regarding power, sample size, significance, and reporting standards.
β’ Identify underpowered tests and false positives before they lead to misguided decisions.
β’ Transition Growth tests to continuous monitoring and analyze results that cross boundaries.
β’ Enhance the self-service experimentation framework using Lightdash, Python-based statistical significance tools, and Claude AI routines.
β’ Maintain automated Growth metrics, conduct pre-test power assessments, and perform live-test health checks as products and tracking methods evolve.
β’ Construct and manage a reliable, instrumented visitor-to-lead-to-customer funnel across various brands and channels.
β’ Provide analyses of CAC, LTV, and conversion rates to inform investment strategies.
β’ Develop initial standards and a playbook for scaling the Growth analytics function in the first year.
β’ Advise on whether to buy or develop the experimentation infrastructure.
β’ Collaborate with the Director of CRO, performance marketing, Growth PMs, and the CEO.
β’ Deliver insights that influence decisions and quantify conversion improvements.
β’ Proficient in SQL.
β’ Sufficient Python skills to automate statistical significance calculations.
β’ Familiarity with dbt and Lightdash.
β’ Experience in building data models independently without relying on data engineering.
β’ Regular use of AI for SQL, dbt, and analytical pressure-testing; eagerness to enhance existing AI capabilities.
β’ Strong statistical understanding of experiment design, power, significance, novelty and interaction effects, and knowledge of when not to conduct tests.
β’ Proficient in Segment event instrumentation and Flagsmith randomization.
β’ Knowledge of CAC, LTV, channel economics, attribution complexities, seasonality, and channel mix.
β’ Ability to identify tracking issues before launching experiments.
β’ Skill in articulating broken experiments and analytical insights in straightforward terms.
β’ Capability to influence PMs and marketers without formal authority.
β’ Individual contributor focus; this position does not involve people management.
β’ AI tools provided: The Claude routines currently operating in our experimentation process are yours to expand upon, not just a side project that requires justification.
β’ Fully remote: This role involves deep-focus analytical work with US-based partners. We seek the best analysts regardless of location and trust you to manage your work environment and hours of overlap.
β’ Flexible PTO: Performance is evaluated based on outcomes rather than hours worked.
β’ Scope: Be the first analyst dedicated solely to Growth and Experimentation, leaving your mark on how the company determines what strategies succeed.
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